class_docstr: Pseudo bounding box coder.
docstr: torch.Tensor: return the given ``bboxes``
docstr_tok: ["torch.Tensor",":","return","the","given","``","bboxes","``"]
code: def encode(
      self, bboxes: Tensor, gt_bboxes: Union[Tensor, BaseBoxes]
  ) -> Tensor:
      """torch.Tensor: return the given ``bboxes``"""
      gt_bboxes = get_box_tensor(gt_bboxes)
      return gt_bboxes
  
file_path: mmdetection/mmdet/models/task_modules/coders/pseudo_bbox_coder.py
imports: from typing import Union
  from torch import Tensor
  from mmdet.registry import TASK_UTILS
  from mmdet.structures.bbox import BaseBoxes, HorizontalBoxes, get_box_tensor
  from .base_bbox_coder import BaseBBoxCoder
label_desc: Use image node_id 2 for calling the PseudoBBoxCoder obj's underlying member method code with example usage: obj.encode(bboxes, gt_bboxes) and returns: gt_bboxes